Hcltech | Aws Data Architect
vor 1 Woche
AWS Data Architect - Australia and New Zealand HCLTech Understand customer requirements and render those as architectural models that will operate at large scale and high performance.
Where customers have architectures prepared, validate them against non-functional requirements and finalize the build model.
Work alongside customers to build data management platforms using AWS products like Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS).
Hands-on experience in Snowflake is required.
Well experienced in other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS.
Conversion of Hive SQL to AWS Glue based SQL.
Security of EMR cluster using KMS keys or customer managed keys.
Knowledge of database technologies Teradata, Cloudera, Big Data Hadoop.
Render working, high-performance data management solutions, as CloudFormation and reusable artifacts for implementation by the customer.
Bootstrap using user data scripts will be an added advantage.
Prepare architecture and design briefs that outline the key features and decision points of the application built in the Data Lab.
Work with customers to advise on changes as they put these systems live on AWS.
Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community.
Basic Qualifications: -
Min 8-12 years of IT experience with 5+ years of experience in Data Engineering and 3+ years of hands-on experience in AWS Data Technologies.
Highly technical and analytical, possessing 3 or more years of Database and/or Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc.
Possess significant experience of software development and/or IT and implementation/consulting experience.
Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
Ability to understand complex business requirements and render them as prototype systems with quick turnaround time.
Hands-on experience in Snowflake implementation.
Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server), NoSQL (such as DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization.
AWS Certification, e.g., AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Specialty).
Preferred Qualifications: -
Hands-on experience leading large-scale global database, data warehousing, and analytics projects.
Demonstrated industry leadership in the fields of Big Data, Database Migration, Data Warehousing, Data Sciences, and Advanced Analytics.
Deep understanding of data, application, server, and network security.
Experience with Statistics, Machine Learning, and Predictive Modelling.
Hands-on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist.
Experience working within the software development or Internet industries is highly desired.
Technical degrees in computer science, software engineering, or mathematics.
Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps.
Other Skills: -
A critical thinker with strong research, analytics, and problem-solving skills.
Self-motivated with a positive attitude and an ability to work independently and/or in a team.
Able to work under tight timelines and deliver on complex problems.
Must be able to work flexible hours (including weekends and nights) as needed.
A strong team player.
AWS Data Architect, you will be a recognized expert in cloud data engineering who will develop data engineering solutions on cloud, assess and solution migrations, builds highly scalable, flexible, and resilient cloud architectures that solve customer business problems and accelerate the adoption of our client's Data initiatives on cloud.
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